Pennock
other · 2 mentions across 1 reading
In this course
Pennock appears here as a co-author on work examining information markets and prediction mechanisms, specifically in the context of forecasting accuracy in domains like elections and entertainment outcomes. The citation positions Pennock's research as foundational to understanding how decentralized prediction markets function as epistemological systems—a key concern for the course's investigation of how algorithms and collective intelligence model uncertainty. This work is cited as evidence that market-based forecasting can rival or exceed traditional expert prediction, raising questions about authority, aggregation, and the role of computational systems in producing reliable knowledge.
Mentioned in 1 reading
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